• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems
【24h】

Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems

机译：串行多级生产系统的生产，质量控制和维护的联合优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a joint model of production, quality control and preventive maintenance for a serial-parallel multistage production system. In each stage, there are multiple machines to meet the productivity and linebalance requirement. The machines deteriorate with usage and thus influences the product quality. A make-to-stock production policy is adopted to provide protection to stock against uncertainties. All items processed in each stage undergo quality checks. Conforming items are delivered to the next stage for further processing, whereas non-conforming items are scrapped. During production runs, based on the quality information feedback, preventive maintenances are performed to improve the machines reliability and hence the product quality. At the end of production runs, machines are inspected and maintained if necessary. The novelty of the proposed maintenance strategy consists in that both the machine structure importance measure and productivity are considered when selecting machines for maintenance. It aims to simultaneously determine the length of production run, quality control-threshold and maintenance-threshold such that the average cost rate is minimized. A stochastic mathematical model is developed which is solved by a simulation-based optimization approach coupling Monte Carlo Simulation and genetic algorithm. Finally, an illustrative example and some comparisons are provided to demonstrate the model.
机译：本文为串行多级生产系统提供了一种生产，质量控制和预防性维护的联合模型。在每个阶段，有多种机器以满足生产力和Linebalance要求。机器利用使用率恶化，从而影响产品质量。采用了股份生产政策，为股票免受不确定性提供保护。每个阶段处理的所有项目都经过质量检查。符合物品被传递到下一个阶段进行进一步处理，而不合格的物品被报废。在生产过程中，基于质量信息反馈，进行预防性维护以提高机器可靠性并因此提高产品质量。在生产延误结束时，必要时检查和维护机器。拟议的维护策略的新颖性包括在选择维护机时，考虑机器结构的重要性测量和生产率。它旨在同时确定生产运行的长度，质量控制阈值和维护阈值，使得平均成本率最小化。开发了一种随机数学模型，其通过基于仿真的优化方法耦合蒙特卡罗模拟和遗传算法来解决。最后，提供了说明性示例和一些比较来展示模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号